Structured Light Using Pseudorandom Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Calibrating a Structured Light Stripe System: A Novel Approach
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A structured light vision system for out-of-plane vibration frequencies location of a moving web
Machine Vision and Applications
Digital Image Processing: PIKS Scientific Inside
Digital Image Processing: PIKS Scientific Inside
Precise ellipse estimation without contour point extraction
Machine Vision and Applications
Calibration of vision systems based on pseudo-random patterns
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Towards a real-time 3D shape reconstruction using a structured light system
Pattern Recognition
A state of the art in structured light patterns for surface profilometry
Pattern Recognition
Multi-view scans alignment for 3D spherical mosaicing in large-scale unstructured environments
Computer Vision and Image Understanding
Optimizing plane-to-plane positioning tasks by image-based visual servoing and structured light
IEEE Transactions on Robotics
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Structured-light systems (SLSs) are widely used in active stereo vision to perform 3D modelling of a surface of interest. We propose a flexible method to calibrate SLSs projecting point patterns. The method is flexible in two respects. First, the calibration is independent of the number of points and their spatial distribution inside the pattern. Second, no positioning device is required since the projector geometry is determined in the camera coordinate system based on unknown positions of the calibration board. The projector optical center is estimated together with the 3D rays originating from the projector using a numerical optimization procedure. We study the 3D point reconstruction accuracy for two SLSs involving a laser based projector and a pico-projector, respectively, and for three point patterns. We finally illustrate the potential of our active vision system for a medical endoscopy application where a 3D cartography of the inspected organ (a large field of view surface also including image textures) can be reconstructed from a video acquisition using the laser based SLS.